Long Trade on LDO 22 Aug 2025 at 07:17:36
Take profit at 1.3248 (1.26 %) and Stop Loss at 1.2973 (0.84 %)
Long Trade on LDO 22 Aug 2025 at 07:17:36
Take profit at 1.3248 (1.26 %) and Stop Loss at 1.2973 (0.84 %)
Position size of 953.0773 $
Take profit at 1.3248 (1.26 %) and Stop Loss at 1.2973 (0.84 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.53 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.72 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : bear_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.446879 |
0 |
Indicators:
112916
-0.00591714
112248
0.446879
112900
-0.00577974
112248
113719
-0.012938
112248
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Aug 2025 07:17:36 |
22 Aug 2025 08:00:00 |
42 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.3083 | 1.2973 | 1.3248 | 1.5 | 0.3143 |
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 = 1.2973 - 1.3083 = -0.011
Récompense (distance jusqu'au take profit):
E - TP = 1.3083 - 1.3248 = -0.0165
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0165 / -0.011 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 953.0773 | 100 | 728.4853 | 9.53 |
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 / -0.011 = -727.27
Taille de position USD = -727.27 x 1.3083 = -951.49
Donc, tu peux acheter -727.27 avec un stoploss a 1.2973
Avec un position size USD de -951.49$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -727.27 x -0.011 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -727.27 x -0.0165 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.26 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.84 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -0.84 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.986 % | 117.27 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.3248
[entry_price] => 1.3083
[stop_loss] => 1.2962
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-22 08:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.3248
[entry_price] => 1.3083
[stop_loss] => 1.2951
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-22 08:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.3248
[entry_price] => 1.3083
[stop_loss] => 1.294
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-22 08:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.3248
[entry_price] => 1.3083
[stop_loss] => 1.2918
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-22 08:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0245
[max_drawdown] => 0.0219
[rr_ratio] => 1.12
[high] => 1.33280000
[low] => 1.28640000
[mfe_pct] => 1.87
[mae_pct] => 1.67
[mfe_mae_ratio] => 1.12
[candles_analyzed] => 24
[start_at] => 2025-08-22T07:17:36-04:00
[end_at] => 2025-08-22T09:17:36-04:00
)
[long_term] => Array
(
[max_gain] => 0.1714
[max_drawdown] => 0.0219
[rr_ratio] => 7.83
[high] => 1.47970000
[low] => 1.28640000
[mfe_pct] => 13.1
[mae_pct] => 1.67
[mfe_mae_ratio] => 7.83
[candles_analyzed] => 84
[start_at] => 2025-08-22T07:17:36-04:00
[end_at] => 2025-08-22T14:17:36-04:00
)
[breakout] => Array
(
[high_before] => 1.34620000
[high_after] => 1.47840000
[low_before] => 1.29540000
[low_after] => 1.28640000
[is_new_high] => 1
[is_new_low] =>
)
)