Long Trade on BB 18 May 2025 at 14:19:50
Take profit at 0.1875 (2.57 %) and Stop Loss at 0.1797 (1.7 %)
Long Trade on BB 18 May 2025 at 14:19:50
Take profit at 0.1875 (2.57 %) and Stop Loss at 0.1797 (1.7 %)
Position size of 468.4614 $
Take profit at 0.1875 (2.57 %) and Stop Loss at 0.1797 (1.7 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.352894 |
Indicators:
104739
-0.00601231
104109
0.352894
104004
0.00101033
104109
103550
0.00540414
104109
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 May 2025 14:19:50 |
18 May 2025 15:50:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1828 | 0.1797 | 0.1875 | 1.52 | 0.0241 |
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 = 0.1797 - 0.1828 = -0.0031
Récompense (distance jusqu'au take profit):
E - TP = 0.1828 - 0.1875 = -0.0047
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0047 / -0.0031 = 1.5161
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 468.4614 | 100 | 2561.9983 | 4.68 |
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 / -0.0031 = -2580.65
Taille de position USD = -2580.65 x 0.1828 = -471.74
Donc, tu peux acheter -2580.65 avec un stoploss a 0.1797
Avec un position size USD de -471.74$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2580.65 x -0.0031 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2580.65 x -0.0047 = 12.13
Si Take Profit atteint, tu gagneras 12.13$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.57 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.7 % | 7.94 $ |
| PNL | PNL % |
|---|---|
| -7.94 $ | -1.70 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.2374179431072 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1875
[entry_price] => 0.1828
[stop_loss] => 0.17939
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-18 15:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1875
[entry_price] => 0.1828
[stop_loss] => 0.17908
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-18 15:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1875
[entry_price] => 0.1828
[stop_loss] => 0.17877
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-18 15:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1875
[entry_price] => 0.1828
[stop_loss] => 0.17815
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-18 16:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00203
[max_drawdown] => 0.00711
[rr_ratio] => 0.29
[high] => 0.18483000
[low] => 0.17569000
[mfe_pct] => 1.11
[mae_pct] => 3.89
[mfe_mae_ratio] => 0.29
[candles_analyzed] => 24
[start_at] => 2025-05-18T14:19:50-04:00
[end_at] => 2025-05-18T16:19:50-04:00
)
[long_term] => Array
(
[max_gain] => 0.00551
[max_drawdown] => 0.00711
[rr_ratio] => 0.77
[high] => 0.18831000
[low] => 0.17569000
[mfe_pct] => 3.01
[mae_pct] => 3.89
[mfe_mae_ratio] => 0.77
[candles_analyzed] => 72
[start_at] => 2025-05-18T14:19:50-04:00
[end_at] => 2025-05-18T20:19:50-04:00
)
[breakout] => Array
(
[high_before] => 0.19951000
[high_after] => 0.18831000
[low_before] => 0.17915000
[low_after] => 0.17569000
[is_new_high] =>
[is_new_low] =>
)
)