Long Trade on SANTOS 18 Jul 2025 at 10:07:32
Take profit at 2.2849 (0.97 %) and Stop Loss at 2.2484 (0.65 %)
Long Trade on SANTOS 18 Jul 2025 at 10:07:32
Take profit at 2.2849 (0.97 %) and Stop Loss at 2.2484 (0.65 %)
Position size of 1240.6672 $
Take profit at 2.2849 (0.97 %) and Stop Loss at 2.2484 (0.65 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : -0.023195 |
Indicators:
119283
-0.00267847
118964
-0.023195
119213
-0.00209252
118964
119228
-0.00222002
118964
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 Jul 2025 10:07:32 |
18 Jul 2025 10:20:00 |
12 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.263 | 2.2484 | 2.2849 | 1.5 | 1.357 |
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 = 2.2484 - 2.263 = -0.0146
Récompense (distance jusqu'au take profit):
E - TP = 2.263 - 2.2849 = -0.0219
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0219 / -0.0146 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1240.6672 | 100 | 548.24 | 12.41 |
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 / -0.0146 = -547.95
Taille de position USD = -547.95 x 2.263 = -1240.01
Donc, tu peux acheter -547.95 avec un stoploss a 2.2484
Avec un position size USD de -1240.01$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -547.95 x -0.0146 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -547.95 x -0.0219 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.97 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.65 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.22 $ | -0.66 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0163 % | 153.33 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.285
[entry_price] => 2.263
[stop_loss] => 2.2465
[rr_ratio] => 1.33
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-18 10:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.285
[entry_price] => 2.263
[stop_loss] => 2.245
[rr_ratio] => 1.22
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-18 10:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.285
[entry_price] => 2.263
[stop_loss] => 2.2435
[rr_ratio] => 1.13
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-18 10:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.285
[entry_price] => 2.263
[stop_loss] => 2.2405
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-18 10:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0030000000000001
[max_drawdown] => 0.051
[rr_ratio] => 0.06
[high] => 2.26600000
[low] => 2.21200000
[mfe_pct] => 0.13
[mae_pct] => 2.25
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 24
[start_at] => 2025-07-18T10:07:32-04:00
[end_at] => 2025-07-18T12:07:32-04:00
)
[long_term] => Array
(
[max_gain] => 0.0030000000000001
[max_drawdown] => 0.051
[rr_ratio] => 0.06
[high] => 2.26600000
[low] => 2.21200000
[mfe_pct] => 0.13
[mae_pct] => 2.25
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 72
[start_at] => 2025-07-18T10:07:32-04:00
[end_at] => 2025-07-18T16:07:32-04:00
)
[breakout] => Array
(
[high_before] => 2.42600000
[high_after] => 2.26600000
[low_before] => 2.26300000
[low_after] => 2.21200000
[is_new_high] =>
[is_new_low] =>
)
)