Long Trade on OM 10 Jul 2025 at 04:18:55
Take profit at 0.2108 (0.76 %) and Stop Loss at 0.2082 (0.48 %)
Long Trade on OM 10 Jul 2025 at 04:18:55
Take profit at 0.2108 (0.76 %) and Stop Loss at 0.2082 (0.48 %)
Position size of 1597.0905 $
Take profit at 0.2108 (0.76 %) and Stop Loss at 0.2082 (0.48 %)
That's a 1.6 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.41 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.494523 |
Indicators:
111138
0.000713622
111218
0.494523
110351
0.00785427
111218
109157
0.0188749
111218
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 10 Jul 2025 04:18:55 |
10 Jul 2025 04:25:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2092 | 0.2082 | 0.2108 | 1.6 | 0.07094 |
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 = 0.2082 - 0.2092 = -0.001
Récompense (distance jusqu'au take profit):
E - TP = 0.2092 - 0.2108 = -0.0016
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0016 / -0.001 = 1.6
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1597.0905 | 100 | 7634.276 | 15.97 |
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 / -0.001 = -8000
Taille de position USD = -8000 x 0.2092 = -1673.6
Donc, tu peux acheter -8000 avec un stoploss a 0.2082
Avec un position size USD de -1673.6$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -8000 x -0.001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -8000 x -0.0016 = 12.8
Si Take Profit atteint, tu gagneras 12.8$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.76 % | 12.21 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.48 % | 7.63 $ |
| PNL | PNL % |
|---|---|
| -7.63 $ | -0.48 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8031 % | 168.01 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2108
[entry_price] => 0.2092
[stop_loss] => 0.2081
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-10 04:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2108
[entry_price] => 0.2092
[stop_loss] => 0.208
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-10 04:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2108
[entry_price] => 0.2092
[stop_loss] => 0.2079
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-10 04:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2108
[entry_price] => 0.2092
[stop_loss] => 0.2077
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-10 04:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 7.0000000000014E-5
[max_drawdown] => 0.00552
[rr_ratio] => 0.01
[high] => 0.20927000
[low] => 0.20368000
[mfe_pct] => 0.03
[mae_pct] => 2.64
[mfe_mae_ratio] => 0.01
[candles_analyzed] => 24
[start_at] => 2025-07-10T04:18:55-04:00
[end_at] => 2025-07-10T06:18:55-04:00
)
[long_term] => Array
(
[max_gain] => 0.00328
[max_drawdown] => 0.00552
[rr_ratio] => 0.59
[high] => 0.21248000
[low] => 0.20368000
[mfe_pct] => 1.57
[mae_pct] => 2.64
[mfe_mae_ratio] => 0.59
[candles_analyzed] => 72
[start_at] => 2025-07-10T04:18:55-04:00
[end_at] => 2025-07-10T10:18:55-04:00
)
[breakout] => Array
(
[high_before] => 0.21351000
[high_after] => 0.21248000
[low_before] => 0.20848000
[low_after] => 0.20368000
[is_new_high] =>
[is_new_low] =>
)
)