Long Trade on ETHFI 06 Aug 2025 at 08:13:22
Take profit at 1.0065 (0.88 %) and Stop Loss at 0.9918 (0.59 %)
Long Trade on ETHFI 06 Aug 2025 at 08:13:22
Take profit at 1.0065 (0.88 %) and Stop Loss at 0.9918 (0.59 %)
Position size of 1361.0057 $
Take profit at 1.0065 (0.88 %) and Stop Loss at 0.9918 (0.59 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.74 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.69 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.768195 |
Indicators:
113950
0.000157382
113968
0.768195
113982
-0.000126506
113968
113986
-0.000158681
113968
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Aug 2025 08:13:22 |
06 Aug 2025 08:15:00 |
1 minute |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.9977 | 0.9918 | 1.0065 | 1.49 | 0.4762 |
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 = 0.9918 - 0.9977 = -0.0059
Récompense (distance jusqu'au take profit):
E - TP = 0.9977 - 1.0065 = -0.0087999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0087999999999999 / -0.0059 = 1.4915
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1361.0057 | 100 | 1364.1433 | 13.61 |
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 / -0.0059 = -1355.93
Taille de position USD = -1355.93 x 0.9977 = -1352.81
Donc, tu peux acheter -1355.93 avec un stoploss a 0.9918
Avec un position size USD de -1352.81$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1355.93 x -0.0059 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1355.93 x -0.0087999999999999 = 11.93
Si Take Profit atteint, tu gagneras 11.93$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.88 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.59 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -8.05 $ | -0.59 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0123 % | 171.17 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.0065
[entry_price] => 0.9977
[stop_loss] => 0.99121
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-06 08:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.0065
[entry_price] => 0.9977
[stop_loss] => 0.99062
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-06 08:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.0065
[entry_price] => 0.9977
[stop_loss] => 0.99003
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-06 08:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.0065
[entry_price] => 0.9977
[stop_loss] => 0.98885
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-06 08:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0227
[max_drawdown] => 0.0101
[rr_ratio] => 2.25
[high] => 1.02040000
[low] => 0.98760000
[mfe_pct] => 2.28
[mae_pct] => 1.01
[mfe_mae_ratio] => 2.25
[candles_analyzed] => 24
[start_at] => 2025-08-06T08:13:22-04:00
[end_at] => 2025-08-06T10:13:22-04:00
)
[long_term] => Array
(
[max_gain] => 0.0441
[max_drawdown] => 0.0101
[rr_ratio] => 4.37
[high] => 1.04180000
[low] => 0.98760000
[mfe_pct] => 4.42
[mae_pct] => 1.01
[mfe_mae_ratio] => 4.37
[candles_analyzed] => 84
[start_at] => 2025-08-06T08:13:22-04:00
[end_at] => 2025-08-06T15:13:22-04:00
)
[breakout] => Array
(
[high_before] => 1.03260000
[high_after] => 1.04000000
[low_before] => 0.99420000
[low_after] => 0.98760000
[is_new_high] => 1
[is_new_low] =>
)
)