Long Trade on ORDER 24 Jul 2025 at 02:40:39
Take profit at 0.1164 (5.91 %) and Stop Loss at 0.1056 (3.91 %)
Long Trade on ORDER 24 Jul 2025 at 02:40:39
Take profit at 0.1164 (5.91 %) and Stop Loss at 0.1056 (3.91 %)
Position size of 203.1028 $
Take profit at 0.1164 (5.91 %) and Stop Loss at 0.1056 (3.91 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.56 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.58 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.060699 |
Indicators:
118304
-0.00626387
117563
0.060699
118329
-0.00485157
117755
118293
-0.00617242
117563
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 24 Jul 2025 02:40:39 |
24 Jul 2025 02:50:00 |
9 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1099 | 0.1056 | 0.1164 | 1.51 | 0.05457 |
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 = 0.1056 - 0.1099 = -0.0043
Récompense (distance jusqu'au take profit):
E - TP = 0.1099 - 0.1164 = -0.0065
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0065 / -0.0043 = 1.5116
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 203.1028 | 100 | 1848.0691 | 2.03 |
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 / -0.0043 = -1860.47
Taille de position USD = -1860.47 x 0.1099 = -204.47
Donc, tu peux acheter -1860.47 avec un stoploss a 0.1056
Avec un position size USD de -204.47$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1860.47 x -0.0043 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1860.47 x -0.0065 = 12.09
Si Take Profit atteint, tu gagneras 12.09$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 5.91 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 3.91 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -3.91 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -7.0974 % | 181.4 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1164
[entry_price] => 0.1099
[stop_loss] => 0.10517
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-24 02:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1164
[entry_price] => 0.1099
[stop_loss] => 0.10474
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-24 02:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1164
[entry_price] => 0.1099
[stop_loss] => 0.10431
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-24 02:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1164
[entry_price] => 0.1099
[stop_loss] => 0.10345
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-24 02:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0071
[max_drawdown] => 0.0078
[rr_ratio] => 0.91
[high] => 0.11700000
[low] => 0.10210000
[mfe_pct] => 6.46
[mae_pct] => 7.1
[mfe_mae_ratio] => 0.91
[candles_analyzed] => 24
[start_at] => 2025-07-24T02:40:39-04:00
[end_at] => 2025-07-24T04:40:39-04:00
)
[long_term] => Array
(
[max_gain] => 0.009
[max_drawdown] => 0.0086
[rr_ratio] => 1.05
[high] => 0.11890000
[low] => 0.10130000
[mfe_pct] => 8.19
[mae_pct] => 7.83
[mfe_mae_ratio] => 1.05
[candles_analyzed] => 72
[start_at] => 2025-07-24T02:40:39-04:00
[end_at] => 2025-07-24T08:40:39-04:00
)
[breakout] => Array
(
[high_before] => 0.12730000
[high_after] => 0.11890000
[low_before] => 0.10620000
[low_after] => 0.10130000
[is_new_high] =>
[is_new_low] =>
)
)