Long Trade on FWOG 11 Jul 2025 at 11:40:22
Take profit at 0.04925 (3.03 %) and Stop Loss at 0.04683 (2.03 %)
Long Trade on FWOG 11 Jul 2025 at 11:40:22
Take profit at 0.04925 (3.03 %) and Stop Loss at 0.04683 (2.03 %)
Position size of 394.666 $
Take profit at 0.04925 (3.03 %) and Stop Loss at 0.04683 (2.03 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.52 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.4 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.10485 |
Indicators:
117847
-0.00282292
117514
0.10485
116160
0.0107767
117412
112137
0.0479558
117514
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 11 Jul 2025 11:40:22 |
11 Jul 2025 11:55:00 |
14 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.0478 | 0.04683 | 0.04925 | 1.49 | 0.0137 |
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 = 0.04683 - 0.0478 = -0.00097000000000001
Récompense (distance jusqu'au take profit):
E - TP = 0.0478 - 0.04925 = -0.00145
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00145 / -0.00097000000000001 = 1.4948
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 394.666 | 100 | 8256.6105 | 3.95 |
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 / -0.00097000000000001 = -8247.42
Taille de position USD = -8247.42 x 0.0478 = -394.23
Donc, tu peux acheter -8247.42 avec un stoploss a 0.04683
Avec un position size USD de -394.23$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -8247.42 x -0.00097000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -8247.42 x -0.00145 = 11.96
Si Take Profit atteint, tu gagneras 11.96$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 3.03 % | 11.97 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.03 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -2.03 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.3473 % | 164.95 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.04925
[entry_price] => 0.0478
[stop_loss] => 0.046733
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-11 11:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.04925
[entry_price] => 0.0478
[stop_loss] => 0.046636
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-11 11:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.04925
[entry_price] => 0.0478
[stop_loss] => 0.046539
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-11 11:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.04925
[entry_price] => 0.0478
[stop_loss] => 0.046345
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-11 11:55:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00054
[max_drawdown] => 0.00335
[rr_ratio] => 0.16
[high] => 0.04834000
[low] => 0.04445000
[mfe_pct] => 1.13
[mae_pct] => 7.01
[mfe_mae_ratio] => 0.16
[candles_analyzed] => 24
[start_at] => 2025-07-11T11:40:22-04:00
[end_at] => 2025-07-11T13:40:22-04:00
)
[long_term] => Array
(
[max_gain] => 0.00107
[max_drawdown] => 0.00335
[rr_ratio] => 0.32
[high] => 0.04887000
[low] => 0.04445000
[mfe_pct] => 2.24
[mae_pct] => 7.01
[mfe_mae_ratio] => 0.32
[candles_analyzed] => 72
[start_at] => 2025-07-11T11:40:22-04:00
[end_at] => 2025-07-11T17:40:22-04:00
)
[breakout] => Array
(
[high_before] => 0.05212000
[high_after] => 0.04887000
[low_before] => 0.04629000
[low_after] => 0.04445000
[is_new_high] =>
[is_new_low] =>
)
)