Short Trade on TRUMP 08 Jul 2025 at 06:18:37
Take profit at 8.4899 (0.25 %) and Stop Loss at 8.5251 (0.17 %)
Short Trade on TRUMP 08 Jul 2025 at 06:18:37
Take profit at 8.4899 (0.25 %) and Stop Loss at 8.5251 (0.17 %)
Position size of 4829.8569 $
Take profit at 8.4899 (0.25 %) and Stop Loss at 8.5251 (0.17 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.73 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.67 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.64032 |
Indicators:
108143
0.00378938
108553
0.64032
108243
0.00286065
108553
108354
0.00183555
108553
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Jul 2025 06:18:37 |
08 Jul 2025 06:40:00 |
21 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 8.511 | 8.5251 | 8.4899 | 1.5 | 3.462 |
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 = 8.5251 - 8.511 = 0.014100000000001
Récompense (distance jusqu'au take profit):
E - TP = 8.511 - 8.4899 = 0.021099999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.021099999999999 / 0.014100000000001 = 1.4965
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4829.8569 | 100 | 567.4841 | 48.30 |
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 / 0.014100000000001 = 567.38
Taille de position USD = 567.38 x 8.511 = 4828.97
Donc, tu peux acheter 567.38 avec un stoploss a 8.5251
Avec un position size USD de 4828.97$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 567.38 x 0.014100000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 567.38 x 0.021099999999999 = 11.97
Si Take Profit atteint, tu gagneras 11.97$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.25 % | 11.97 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.17 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.94 $ | -0.16 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.235 % | 142.86 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 8.49
[entry_price] => 8.511
[stop_loss] => 8.5264
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-08 06:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 8.49
[entry_price] => 8.511
[stop_loss] => 8.5278
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-08 06:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 8.49
[entry_price] => 8.511
[stop_loss] => 8.5292
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-08 06:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 8.49
[entry_price] => 8.511
[stop_loss] => 8.532
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-08 06:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0099999999999998
[max_drawdown] => 0.049000000000001
[rr_ratio] => 0.2
[high] => 8.56000000
[low] => 8.50100000
[mfe_pct] => 0.12
[mae_pct] => 0.58
[mfe_mae_ratio] => 0.2
[candles_analyzed] => 24
[start_at] => 2025-07-08T06:18:37-04:00
[end_at] => 2025-07-08T08:18:37-04:00
)
[long_term] => Array
(
[max_gain] => 0.039999999999999
[max_drawdown] => 0.049000000000001
[rr_ratio] => 0.82
[high] => 8.56000000
[low] => 8.47100000
[mfe_pct] => 0.47
[mae_pct] => 0.58
[mfe_mae_ratio] => 0.82
[candles_analyzed] => 72
[start_at] => 2025-07-08T06:18:37-04:00
[end_at] => 2025-07-08T12:18:37-04:00
)
[breakout] => Array
(
[high_before] => 8.52600000
[high_after] => 8.56000000
[low_before] => 8.44200000
[low_after] => 8.47100000
[is_new_high] =>
[is_new_low] =>
)
)