Long Trade on 1000000MOG 06 Jul 2025 at 20:40:53
Take profit at 1.0092 (0.98 %) and Stop Loss at 0.9929 (0.65 %)
Long Trade on 1000000MOG 06 Jul 2025 at 20:40:53
Take profit at 1.0092 (0.98 %) and Stop Loss at 0.9929 (0.65 %)
Position size of 1224.3935 $
Take profit at 1.0092 (0.98 %) and Stop Loss at 0.9929 (0.65 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.39 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.638535 |
Indicators:
108927
-0.000399483
108884
0.638535
108545
0.00357072
108933
108566
0.00292503
108884
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Jul 2025 20:40:53 |
06 Jul 2025 21:20:00 |
39 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.9994 | 0.9929 | 1.0092 | 1.51 | 0.1596 |
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 = 0.9929 - 0.9994 = -0.0065
Récompense (distance jusqu'au take profit):
E - TP = 0.9994 - 1.0092 = -0.0098000000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0098000000000001 / -0.0065 = 1.5077
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1224.3935 | 100 | 1225.1285 | 12.24 |
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 / -0.0065 = -1230.77
Taille de position USD = -1230.77 x 0.9994 = -1230.03
Donc, tu peux acheter -1230.77 avec un stoploss a 0.9929
Avec un position size USD de -1230.03$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1230.77 x -0.0065 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1230.77 x -0.0098000000000001 = 12.06
Si Take Profit atteint, tu gagneras 12.06$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.98 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.65 % | 7.96 $ |
| PNL | PNL % |
|---|---|
| -7.96 $ | -0.65 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7304 % | 112.3 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.009
[entry_price] => 0.9994
[stop_loss] => 0.99225
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-06 21:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.009
[entry_price] => 0.9994
[stop_loss] => 0.9916
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-06 22:10:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 1.009
[entry_price] => 0.9994
[stop_loss] => 0.99095
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-06 22:10:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 1.009
[entry_price] => 0.9994
[stop_loss] => 0.98965
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-06 22:10:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0119
[max_drawdown] => 0.0073
[rr_ratio] => 1.63
[high] => 1.01130000
[low] => 0.99210000
[mfe_pct] => 1.19
[mae_pct] => 0.73
[mfe_mae_ratio] => 1.63
[candles_analyzed] => 24
[start_at] => 2025-07-06T20:40:53-04:00
[end_at] => 2025-07-06T22:40:53-04:00
)
[long_term] => Array
(
[max_gain] => 0.0223
[max_drawdown] => 0.0073
[rr_ratio] => 3.05
[high] => 1.02170000
[low] => 0.99210000
[mfe_pct] => 2.23
[mae_pct] => 0.73
[mfe_mae_ratio] => 3.05
[candles_analyzed] => 72
[start_at] => 2025-07-06T20:40:53-04:00
[end_at] => 2025-07-07T02:40:53-04:00
)
[breakout] => Array
(
[high_before] => 1.05300000
[high_after] => 1.02170000
[low_before] => 0.99700000
[low_after] => 0.99210000
[is_new_high] =>
[is_new_low] =>
)
)