Long Trade on CROSS 09 Aug 2025 at 21:18:07
Take profit at 0.3257 (1.43 %) and Stop Loss at 0.3179 (1 %)
Long Trade on CROSS 09 Aug 2025 at 21:18:07
Take profit at 0.3257 (1.43 %) and Stop Loss at 0.3179 (1 %)
Position size of 822.0326 $
Take profit at 0.3257 (1.43 %) and Stop Loss at 0.3179 (1 %)
That's a 1.44 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.54 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.71 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.140297 |
Indicators:
116573
0.000563894
116639
0.140297
116686
-0.00039935
116639
116012
0.00540365
116639
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 09 Aug 2025 21:18:07 |
10 Aug 2025 00:05:00 |
2 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3211 | 0.3179 | 0.3257 | 1.44 | 0.09906 |
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 = 0.3179 - 0.3211 = -0.0032
Récompense (distance jusqu'au take profit):
E - TP = 0.3211 - 0.3257 = -0.0046
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0046 / -0.0032 = 1.4375
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 822.0326 | 100 | 2560.3707 | 8.22 |
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 / -0.0032 = -2500
Taille de position USD = -2500 x 0.3211 = -802.75
Donc, tu peux acheter -2500 avec un stoploss a 0.3179
Avec un position size USD de -802.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0046 = 11.5
Si Take Profit atteint, tu gagneras 11.5$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.43 % | 11.78 $ |
| SL % Target | SL $ Target |
|---|---|
| 1 % | 8.19 $ |
| PNL | PNL % |
|---|---|
| -8.19 $ | -1.00 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2115 % | 121.56 % | 20 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3257
[entry_price] => 0.3211
[stop_loss] => 0.31758
[rr_ratio] => 1.31
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-10 00:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3257
[entry_price] => 0.3211
[stop_loss] => 0.31726
[rr_ratio] => 1.2
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-10 00:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3257
[entry_price] => 0.3211
[stop_loss] => 0.31694
[rr_ratio] => 1.11
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-10 00:50:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.3257
[entry_price] => 0.3211
[stop_loss] => 0.3163
[rr_ratio] => 0.96
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-10 00:50:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00355
[max_drawdown] => 0.00228
[rr_ratio] => 1.56
[high] => 0.32465000
[low] => 0.31882000
[mfe_pct] => 1.11
[mae_pct] => 0.71
[mfe_mae_ratio] => 1.56
[candles_analyzed] => 24
[start_at] => 2025-08-09T21:18:07-04:00
[end_at] => 2025-08-09T23:18:07-04:00
)
[long_term] => Array
(
[max_gain] => 0.01141
[max_drawdown] => 0.00808
[rr_ratio] => 1.41
[high] => 0.33251000
[low] => 0.31302000
[mfe_pct] => 3.55
[mae_pct] => 2.52
[mfe_mae_ratio] => 1.41
[candles_analyzed] => 84
[start_at] => 2025-08-09T21:18:07-04:00
[end_at] => 2025-08-10T04:18:07-04:00
)
[breakout] => Array
(
[high_before] => 0.33425000
[high_after] => 0.33251000
[low_before] => 0.32025000
[low_after] => 0.31721000
[is_new_high] =>
[is_new_low] =>
)
)