Short Trade on BID 19 Jul 2025 at 05:51:47
Take profit at 0.09755 (3.22 %) and Stop Loss at 0.103 (2.18 %)
Short Trade on BID 19 Jul 2025 at 05:51:47
Take profit at 0.09755 (3.22 %) and Stop Loss at 0.103 (2.18 %)
Position size of 371.8265 $
Take profit at 0.09755 (3.22 %) and Stop Loss at 0.103 (2.18 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.44 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.019088 |
Indicators:
118123
0.00126098
118272
0.019088
118158
0.00097078
118272
118274
-1.76266E-5
118272
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 19 Jul 2025 05:51:47 |
19 Jul 2025 05:55:00 |
3 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1008 | 0.103 | 0.09755 | 1.48 | 0.02489 |
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 = 0.103 - 0.1008 = 0.0022
Récompense (distance jusqu'au take profit):
E - TP = 0.1008 - 0.09755 = 0.00325
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00325 / 0.0022 = 1.4773
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 371.8265 | 100 | 3688.7549 | 3.72 |
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 / 0.0022 = 3636.36
Taille de position USD = 3636.36 x 0.1008 = 366.55
Donc, tu peux acheter 3636.36 avec un stoploss a 0.103
Avec un position size USD de 366.55$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 3636.36 x 0.0022 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 3636.36 x 0.00325 = 11.82
Si Take Profit atteint, tu gagneras 11.82$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 3.22 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.18 % | 8.12 $ |
| PNL | PNL % |
|---|---|
| -8.12 $ | -2.18 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -4.2659 % | 195.46 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.09755
[entry_price] => 0.1008
[stop_loss] => 0.10322
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-19 05:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.09755
[entry_price] => 0.1008
[stop_loss] => 0.10344
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-19 05:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.09755
[entry_price] => 0.1008
[stop_loss] => 0.10366
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-19 05:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.09755
[entry_price] => 0.1008
[stop_loss] => 0.1041
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-19 05:55:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00037
[max_drawdown] => 0.0073
[rr_ratio] => 0.05
[high] => 0.10810000
[low] => 0.10043000
[mfe_pct] => 0.37
[mae_pct] => 7.24
[mfe_mae_ratio] => 0.05
[candles_analyzed] => 24
[start_at] => 2025-07-19T05:51:47-04:00
[end_at] => 2025-07-19T07:51:47-04:00
)
[long_term] => Array
(
[max_gain] => 0.00739
[max_drawdown] => 0.0073
[rr_ratio] => 1.01
[high] => 0.10810000
[low] => 0.09341000
[mfe_pct] => 7.33
[mae_pct] => 7.24
[mfe_mae_ratio] => 1.01
[candles_analyzed] => 72
[start_at] => 2025-07-19T05:51:47-04:00
[end_at] => 2025-07-19T11:51:47-04:00
)
[breakout] => Array
(
[high_before] => 0.10264000
[high_after] => 0.10810000
[low_before] => 0.08887000
[low_after] => 0.09341000
[is_new_high] =>
[is_new_low] =>
)
)